Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!usc!wuarchive!emory!hubcap!fpst From: reynolds@park.bu.edu (John Reynolds) Newsgroups: comp.parallel Subject: Re: parallel data structures Message-ID: <1991May23.180211.9343@hubcap.clemson.edu> Date: 23 May 91 16:03:06 GMT References: <1991May23.120025.17495@hubcap.clemson.edu> Sender: news@bu.edu Organization: Boston University Center for Adaptive Systems Lines: 7 Approved: parallel@hubcap.clemson.edu In-Reply-To: iahmad@wotan.top.cis.syr.edu's message of 22 May 91 23:45:58 GMT Of course, decision trees tesselate feature space by dividing regions into subregions recursively, placing hyperplanes that are perpendicular to the coordinate axis corresponding to the current decision point. Discriminant functions provide more general way of tesselating the space, which could include search tree tesselation. A good comparison is ID-3 with ARTMAP.